Control Kody

Organization

modem-dev

control-kody

Drive and verify the Kody app with a Feature Map and one CLI. Use when changing UI, account routes, preview deploys, or proving a Cloud Agent change with a real origin, session, and /health SHA.

Overview

Publisher	modem-dev
Repository	`ossrules`
Skill name	`control-kody`
Stars	65
Forks	2
Bundled files	Instructions only
License	MIT
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by modem-dev on GitHub. Read the source before you install it.

Installation

Install the Control Kody AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/modem-dev/ossrules/tree/main/public/files/kody/.agents/skills/control-kody
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/modem-dev/ossrules/tree/main/public/files/kody/.agents/skills/control-kody

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/modem-dev/ossrules.git /tmp/ossrules
mkdir -p .claude/skills
cp -r /tmp/ossrules/public/files/kody/.agents/skills/control-kody .claude/skills/control-kody

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Control Kody in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Control Kody on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Control Kody is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

control-kody

Do not invent a throwaway curl script, scrape PR comments by hand, or rediscover account routes from routes.ts. Use the CLI and the Feature Map.

bash
node tools/control-kody.ts doctor
node tools/control-kody.ts dev
node tools/control-kody.ts login
node tools/control-kody.ts request GET /account/waiting.json
node tools/control-kody.ts map waiting
node tools/control-kody.ts health --sha <merge-sha>
node tools/control-kody.ts preview -- --request 'GET /account/waiting.json' --check /account/waiting
node tools/control-kody.ts package-create --origin <preview> --package-name <leaf-or-@scope/leaf> [--head-ahead]

--kody-id is an alias for --package-name. npm run control-kody -- <command> is the same entry.

Feature Map

references/features/README.md is the human-readable index. tools/control-kody/feature-catalog.ts is the machine-readable source. map --check (and its node test) fail when a listed path leaves routes.ts or a required HTML route has no entry.

Load one feature file for the surface you are changing.

Seed users

Local: jane@example.com / ilikecode (non-admin)
Preview: me@kentcdodds.com / ilikecode (non-admin, empty until you create data through JSON APIs, or package-create for a saved package)
/admin 403 and /mcp 401 are expected for those seeds

Proof

CI green is not enough for a user-visible account change. Prefer:

doctor then dev or preview
request / --check as the seed user with data for this change
A computerUse video or screenshot of the same page
After merge, health --origin https://kody.codes --sha <merge> (full SHA, unique short SHA, or a later descendant HEAD that contains the merge)

See docs/contributing/control-kody.md and preview-manual-test.

Frequently asked questions

What does the Control Kody AI skill do?

Drive and verify the Kody app with a Feature Map and one CLI. Use when changing UI, account routes, preview deploys, or proving a Cloud Agent change with a real origin, session, and /health SHA.

Why use Control Kody on TypingMind?

Because you install it once and use it with any model. Control Kody is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Control Kody in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/modem-dev/ossrules/tree/main/public/files/kody/.agents/skills/control-kody. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Control Kody?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Control Kody?

As many as you like. As long as a model supports skills, you can use Control Kody with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Control Kody AI skill free?

Yes. It is published on GitHub by modem-dev under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

control-kody

Feature Map

Seed users

Proof

Frequently asked questions

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